Instructions to use EdBerg/flan-t5-large-financial-phrasebank-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use EdBerg/flan-t5-large-financial-phrasebank-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForSeq2SeqLM base_model = AutoModelForSeq2SeqLM.from_pretrained("google/flan-t5-small") model = PeftModel.from_pretrained(base_model, "EdBerg/flan-t5-large-financial-phrasebank-lora") - Notebooks
- Google Colab
- Kaggle
Upload model
Browse files- README.md +1 -1
- adapter_config.json +3 -3
- adapter_model.safetensors +2 -2
README.md
CHANGED
|
@@ -1,6 +1,6 @@
|
|
| 1 |
---
|
| 2 |
library_name: peft
|
| 3 |
-
base_model: google/flan-t5-
|
| 4 |
---
|
| 5 |
|
| 6 |
# Model Card for Model ID
|
|
|
|
| 1 |
---
|
| 2 |
library_name: peft
|
| 3 |
+
base_model: google/flan-t5-small
|
| 4 |
---
|
| 5 |
|
| 6 |
# Model Card for Model ID
|
adapter_config.json
CHANGED
|
@@ -1,7 +1,7 @@
|
|
| 1 |
{
|
| 2 |
"alpha_pattern": {},
|
| 3 |
"auto_mapping": null,
|
| 4 |
-
"base_model_name_or_path":
|
| 5 |
"bias": "none",
|
| 6 |
"fan_in_fan_out": false,
|
| 7 |
"inference_mode": true,
|
|
@@ -19,8 +19,8 @@
|
|
| 19 |
"rank_pattern": {},
|
| 20 |
"revision": null,
|
| 21 |
"target_modules": [
|
| 22 |
-
"
|
| 23 |
-
"
|
| 24 |
],
|
| 25 |
"task_type": "SEQ_2_SEQ_LM",
|
| 26 |
"use_rslora": false
|
|
|
|
| 1 |
{
|
| 2 |
"alpha_pattern": {},
|
| 3 |
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "google/flan-t5-small",
|
| 5 |
"bias": "none",
|
| 6 |
"fan_in_fan_out": false,
|
| 7 |
"inference_mode": true,
|
|
|
|
| 19 |
"rank_pattern": {},
|
| 20 |
"revision": null,
|
| 21 |
"target_modules": [
|
| 22 |
+
"q",
|
| 23 |
+
"v"
|
| 24 |
],
|
| 25 |
"task_type": "SEQ_2_SEQ_LM",
|
| 26 |
"use_rslora": false
|
adapter_model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:24cf41df3d04256f4e8589bde1f723770c0ec326d5c67b15f08ef86567951594
|
| 3 |
+
size 2765880
|